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Running
on
Zero
Running
on
Zero
_base_ = ['coco_transformer.py'] | |
use_label_enc = True | |
num_classes=2 | |
lr = 0.0001 | |
param_dict_type = 'default' | |
lr_backbone = 1e-05 | |
lr_backbone_names = ['backbone.0'] | |
lr_linear_proj_names = ['reference_points', 'sampling_offsets'] | |
lr_linear_proj_mult = 0.1 | |
ddetr_lr_param = False | |
batch_size = 2 | |
weight_decay = 0.0001 | |
epochs = 12 | |
lr_drop = 11 | |
save_checkpoint_interval = 100 | |
clip_max_norm = 0.1 | |
onecyclelr = False | |
multi_step_lr = False | |
lr_drop_list = [33, 45] | |
modelname = 'UniPose' | |
frozen_weights = None | |
backbone = 'swin_T_224_1k' | |
dilation = False | |
position_embedding = 'sine' | |
pe_temperatureH = 20 | |
pe_temperatureW = 20 | |
return_interm_indices = [1, 2, 3] | |
backbone_freeze_keywords = None | |
enc_layers = 6 | |
dec_layers = 6 | |
unic_layers = 0 | |
pre_norm = False | |
dim_feedforward = 2048 | |
hidden_dim = 256 | |
dropout = 0.0 | |
nheads = 8 | |
num_queries = 900 | |
query_dim = 4 | |
num_patterns = 0 | |
pdetr3_bbox_embed_diff_each_layer = False | |
pdetr3_refHW = -1 | |
random_refpoints_xy = False | |
fix_refpoints_hw = -1 | |
dabdetr_yolo_like_anchor_update = False | |
dabdetr_deformable_encoder = False | |
dabdetr_deformable_decoder = False | |
use_deformable_box_attn = False | |
box_attn_type = 'roi_align' | |
dec_layer_number = None | |
num_feature_levels = 4 | |
enc_n_points = 4 | |
dec_n_points = 4 | |
decoder_layer_noise = False | |
dln_xy_noise = 0.2 | |
dln_hw_noise = 0.2 | |
add_channel_attention = False | |
add_pos_value = False | |
two_stage_type = 'standard' | |
two_stage_pat_embed = 0 | |
two_stage_add_query_num = 0 | |
two_stage_bbox_embed_share = False | |
two_stage_class_embed_share = False | |
two_stage_learn_wh = False | |
two_stage_default_hw = 0.05 | |
two_stage_keep_all_tokens = False | |
num_select = 50 | |
transformer_activation = 'relu' | |
batch_norm_type = 'FrozenBatchNorm2d' | |
masks = False | |
decoder_sa_type = 'sa' # ['sa', 'ca_label', 'ca_content'] | |
matcher_type = 'HungarianMatcher' # or SimpleMinsumMatcher | |
decoder_module_seq = ['sa', 'ca', 'ffn'] | |
nms_iou_threshold = -1 | |
dec_pred_bbox_embed_share = True | |
dec_pred_class_embed_share = True | |
use_dn = True | |
dn_number = 100 | |
dn_box_noise_scale = 1.0 | |
dn_label_noise_ratio = 0.5 | |
dn_label_coef=1.0 | |
dn_bbox_coef=1.0 | |
embed_init_tgt = True | |
dn_labelbook_size = 2000 | |
match_unstable_error = True | |
# for ema | |
use_ema = True | |
ema_decay = 0.9997 | |
ema_epoch = 0 | |
use_detached_boxes_dec_out = False | |
max_text_len = 256 | |
shuffle_type = None | |
use_text_enhancer = True | |
use_fusion_layer = True | |
use_checkpoint = False # True | |
use_transformer_ckpt = True | |
text_encoder_type = 'bert-base-uncased' | |
use_text_cross_attention = True | |
text_dropout = 0.0 | |
fusion_dropout = 0.0 | |
fusion_droppath = 0.1 | |
num_body_points=68 | |
binary_query_selection = False | |
use_cdn = True | |
ffn_extra_layernorm = False | |
fix_size=False | |